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Found 4 papers, 1 papers with code
Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases
Parkinson's disease ranks as the second most prevalent neurodegenerative disorder globally.
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
However, even the synthetic ground-truth generation is time-consuming and limits the data heterogeneity, thus the deep models' generalizability.
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers
The problem of the automatic cranial defect reconstruction can be formulated as the shape completion task and solved using dedicated deep networks.
Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling
The goal of this work is to propose a robust, fast, and fully automatic method for personalized cranial defect reconstruction and implant modeling.
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